Re: partition routing layering in nodeModifyTable.c
Amit Langote <amitlangote09@gmail.com>
From: Amit Langote <amitlangote09@gmail.com>
To: Heikki Linnakangas <hlinnaka@iki.fi>
Cc: Alvaro Herrera <alvherre@alvh.no-ip.org>,
Daniel Gustafsson <daniel@yesql.se>, Etsuro Fujita <etsuro.fujita@gmail.com>, Andres Freund <andres@anarazel.de>, PostgreSQL-development <pgsql-hackers@postgresql.org>
Date: 2020-10-23T09:37:41Z
Lists: pgsql-hackers
On Fri, Oct 23, 2020 at 4:04 PM Heikki Linnakangas <hlinnaka@iki.fi> wrote:
> On 22/10/2020 16:49, Amit Langote wrote:
> > On Tue, Oct 20, 2020 at 9:57 PM Amit Langote <amitlangote09@gmail.com> wrote:
> >> On Mon, Oct 19, 2020 at 8:55 PM Heikki Linnakangas <hlinnaka@iki.fi> wrote:
> >>> It's probably true that there's no performance gain from initializing
> >>> them more lazily. But the reasoning and logic around the initialization
> >>> is complicated. After tracing through various path through the code, I'm
> >>> convinced enough that it's correct, or at least these patches didn't
> >>> break it, but I still think some sort of lazy initialization on first
> >>> use would make it more readable. Or perhaps there's some other
> >>> refactoring we could do.
> >>
> >> So the other patch I have mentioned is about lazy initialization of
> >> the ResultRelInfo itself, not the individual fields, but maybe with
> >> enough refactoring we can get the latter too.
> >
> > So, I tried implementing a lazy-initialization-on-first-access
> > approach for both the ResultRelInfos themselves and some of the
> > individual fields of ResultRelInfo that don't need to be set right
> > away. You can see the end result in the attached 0003 patch. This
> > slims down ExecInitModifyTable() significantly, both in terms of code
> > footprint and the amount of work that it does.
>
> Have you done any performance testing? I'd like to know how much of a
> difference this makes in practice.
I have shown some numbers here:
https://www.postgresql.org/message-id/CA+HiwqG7ZruBmmih3wPsBZ4s0H2EhywrnXEduckY5Hr3fWzPWA@mail.gmail.com
To reiterate, if you apply the following patch:
> Does this patch become moot if we do the "Overhaul UPDATE/DELETE
> processing"?
> (https://www.postgresql.org/message-id/CA%2BHiwqHpHdqdDn48yCEhynnniahH78rwcrv1rEX65-fsZGBOLQ%40mail.gmail.com)?
...and run this benchmark with plan_cache_mode = force_generic_plan
pgbench -i -s 10 --partitions={0, 10, 100, 1000}
pgbench -T120 -f test.sql -M prepared
test.sql:
\set aid random(1, 1000000)
update pgbench_accounts set abalance = abalance + 1 where aid = :aid;
you may see roughly the following results:
HEAD:
0 tps = 13045.485121 (excluding connections establishing)
10 tps = 9358.157433 (excluding connections establishing)
100 tps = 1878.274500 (excluding connections establishing)
1000 tps = 84.684695 (excluding connections establishing)
Patched (overhaul update/delete processing):
0 tps = 12743.487196 (excluding connections establishing)
10 tps = 12644.240748 (excluding connections establishing)
100 tps = 4158.123345 (excluding connections establishing)
1000 tps = 391.248067 (excluding connections establishing)
And if you apply the patch being discussed here, TPS shoots up a bit,
especially for higher partition counts:
Patched (lazy-ResultRelInfo-initialization)
0 tps = 13419.283168 (excluding connections establishing)
10 tps = 12588.016095 (excluding connections establishing)
100 tps = 8560.824225 (excluding connections establishing)
1000 tps = 1926.553901 (excluding connections establishing)
To explain these numbers a bit, "overheaul update/delete processing"
patch improves the performance of that benchmark by allowing the
updates to use run-time pruning when executing generic plans, which
they can't today.
However without "lazy-ResultRelInfo-initialization" patch,
ExecInitModifyTable() (or InitPlan() when I ran those benchmarks) can
be seen to be spending time initializing all of those result
relations, whereas only one of those will actually be used.
As mentioned further in that email, it's really the locking of all
relations by AcquireExecutorLocks() that occurs even before we enter
the executor that's a much thornier bottleneck for this benchmark.
But the ResultRelInfo initialization bottleneck sounded like it could
get alleviated in a relatively straightforward manner. The patches
that were developed for attacking the locking bottleneck would require
further reflection on whether they are correct.
(Note: I've just copy pasted the numbers I reported in that email. To
reproduce, I'll have to rebase the "overhaul update/delete processing"
patch on this one, which I haven't yet done.)
> Another alternative is to continue to create the ResultRelInfos in
> ExecInitModify(), but initialize the individual fields in them lazily.
If you consider the above, maybe you can see how that will not really
eliminate the bottleneck I'm aiming to fix here.
--
Amit Langote
EDB: http://www.enterprisedb.com
Commits
-
Fix initialization of es_result_relations in EvalPlanQualStart().
- 22b73d3cb0b5 14.0 landed
-
Remove PartitionRoutingInfo struct.
- fb5883da8615 14.0 landed
-
Revise child-to-root tuple conversion map management.
- 6973533650c0 14.0 landed
-
Clean up code to resolve the "root target relation" in nodeModifyTable.c
- f49b85d783f6 14.0 landed
-
Refactor code for cross-partition updates to a separate function.
- c5b097f8fa69 14.0 landed
-
Remove es_result_relation_info from EState.
- a04daa97a433 14.0 landed
-
Include result relation info in direct modify ForeignScan nodes.
- 178f2d560dde 14.0 landed
-
Create ResultRelInfos later in InitPlan, index them by RT index.
- 1375422c7826 14.0 landed